| { | |
| "_name_or_path": "michiyasunaga/BioLinkBERT-base", | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "Epidemic Forecasting", | |
| "1": "Treatment", | |
| "2": "Prevention", | |
| "3": "Mechanism", | |
| "4": "Case Report", | |
| "5": "Transmission", | |
| "6": "Diagnosis", | |
| "7": "Long Covid", | |
| "8": "General Info", | |
| "9": "Communication", | |
| "10": "Contact Tracing", | |
| "11": "Drug Targets", | |
| "12": "Education", | |
| "13": "Effect on Medical Specialties", | |
| "14": "Health Policy", | |
| "15": "Healthcare Workers", | |
| "16": "Imaging", | |
| "17": "Immunology", | |
| "18": "Inequality", | |
| "19": "Medical Devices", | |
| "20": "Misinformation", | |
| "21": "Model Systems & Tools", | |
| "22": "Molecular Biology", | |
| "23": "Non-human", | |
| "24": "Non-medical", | |
| "25": "Pediatrics", | |
| "26": "Prevalence", | |
| "27": "Psychology", | |
| "28": "Recommendations", | |
| "29": "Risk Factors", | |
| "30": "Surveillance", | |
| "31": "Vaccines", | |
| "32": "AI/ML/statistics", | |
| "33": "Comorbidities", | |
| "34": "Telemedicine", | |
| "35": "Drug Design and Discovery" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "AI/ML/statistics": 32, | |
| "Case Report": 4, | |
| "Communication": 9, | |
| "Comorbidities": 33, | |
| "Contact Tracing": 10, | |
| "Diagnosis": 6, | |
| "Drug Design and Discovery": 35, | |
| "Drug Targets": 11, | |
| "Education": 12, | |
| "Effect on Medical Specialties": 13, | |
| "Epidemic Forecasting": 0, | |
| "General Info": 8, | |
| "Health Policy": 14, | |
| "Healthcare Workers": 15, | |
| "Imaging": 16, | |
| "Immunology": 17, | |
| "Inequality": 18, | |
| "Long Covid": 7, | |
| "Mechanism": 3, | |
| "Medical Devices": 19, | |
| "Misinformation": 20, | |
| "Model Systems & Tools": 21, | |
| "Molecular Biology": 22, | |
| "Non-human": 23, | |
| "Non-medical": 24, | |
| "Pediatrics": 25, | |
| "Prevalence": 26, | |
| "Prevention": 2, | |
| "Psychology": 27, | |
| "Recommendations": 28, | |
| "Risk Factors": 29, | |
| "Surveillance": 30, | |
| "Telemedicine": 34, | |
| "Transmission": 5, | |
| "Treatment": 1, | |
| "Vaccines": 31 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "multi_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.28.0", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 28895 | |
| } | |